| --- |
| license: apache-2.0 |
| tags: |
| - translation |
| - generated_from_trainer |
| metrics: |
| - bleu |
| model-index: |
| - name: En-Af |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # En-Af |
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|
| This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-af](https://huggingface.co/Helsinki-NLP/opus-mt-en-af) on the None dataset. |
| It achieves the following results on the evaluation set: |
| Before training: |
| - 'eval_bleu': 35.055184951449 |
| - 'eval_loss': 2.225693941116333 |
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| After training: |
| - Loss: 2.0057 |
| - Bleu: 44.2309 |
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|
| ## Model description |
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| More information needed |
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| ## Intended uses & limitations |
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| More information needed |
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| ## Training and evaluation data |
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| More information needed |
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| ## Training procedure |
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| ### Training hyperparameters |
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| The following hyperparameters were used during training: |
| - learning_rate: 2e-05 |
| - train_batch_size: 32 |
| - eval_batch_size: 64 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 20 |
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| ### Training results |
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| ### Framework versions |
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| - Transformers 4.19.2 |
| - Pytorch 1.11.0+cu113 |
| - Datasets 2.2.2 |
| - Tokenizers 0.12.1 |
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